704results about How to "Reduce subjectivity" patented technology

Method and system of detecting and analyzing the presence of a logo in one or more datastreams. In the method, at least one video datastream of an event is first received. Next, one or more regions of interest (ROIs) for the logo in one or more images comprising the at least one datastream are identified. The one or more ROIs are analyzed to detect if the logo is present in the ROI. If so, the detection of the presence of the logo is used in making either a broadcasting decision or an advertising decision.

The Vertical Transportation-Maintenance Management System (VTMMS) invention described herein is directed towards an automated system and method for monitoring, management, and maintenance of transportation equipment, including but not limited to escalators, elevators, moving walkways, baggage carousels, revolving doors, and automated doors. The system and method is also adaptable to heating, ventilation, and air conditioning units and other building equipment. The system and method collects data from the monitored equipment and preserves data that is related to equipment alarms, faults, failures, and maintenance requirements and activities as determined by monitoring software.

The present invention relates to systems and methods for characterizing balance function. In particular, the present invention provides systems and methods for monitoring balance function (e.g., in a single individual and / or plurality of individuals), generating one or more databases comprising balance function data, processing and / or analyzing databases comprising balance function data, and characterizing balance function (e.g., in a single individual and / or plurality of individuals (e.g., utilizing databases comprising balance function data)). Systems and methods of the present invention find use in, among other things, research, diagnostic and therapeutic applications.

The invention provides a brain wave analysis method. The method uses classical time-frequency domain analysis and principal component analysis methods to solve the problem of electroencephalographic feature extraction, successfully extracts time-frequency domain parameters closely related to the tension, fatigue and relaxation of human bodies, maps the time-frequency domain parameters into principal component space, and uses a support vector machine to efficiently analyze non-linear relation in the principal component space so as to improve the accuracy and validity of interpretation.

An intravenous infiltration detection apparatus for monitoring intravenous failures, which applies an optical method coupled with fiber optics and algorithms for tissue optics to provide a means for noninvasive detection of intravenous infiltration surround the site of IV injection. In the invention, the tissue surrounding the injection site is exposed to a single-wavelength of electromagnetic radiation, and light is collected with only one detector. Changes in the relative intensity of the radiation reflected, scattered, diffused or otherwise emitted provide a means for monitoring infiltration. The invention provides routine, automated, continuous, and real-time monitoring for patients undergoing IV therapy.

Complexity criteria corresponding to the various data object parameters are received by a processing apparatus via a user interface. Values corresponding to one or more of the data object parameters are determined for a data object and subsequently compared to that portion of the complexity criteria corresponding to the one or more data object parameters. Based on this comparison, at least one complexity parameter rating may be determined for the one or more data object parameters. Based on the one or more complexity parameter ratings, an overall complexity rating for the data object, or an estimated effort for transforming the data object, may be determined. By allowing a user to define the complexity criteria, the subjectivity necessarily present in conventional assessments of data object complexity may be substantially eliminated and analysis throughput substantially increased.

The present invention provides a risk management tool and method for creating an improved initial risk management process that captures, assesses, and prioritizes risks and implements mitigation plans to more effectively manage risk in large-scale development projects. A web-based system allows users and management to share and access risk information to more readily identify and assess risks, develop mitigation plans and track the risk management process. The tool and specifically the Pf and Cf tables are tailored to each project to more accurately calculate and prioritize risk factors RF and thus anticipate and minimize or eliminate risks before they occur. The demonstrated value of the tool is found in timely deliveries and a reduction of cost overruns as well as an increase in customer enhanced award fees.

A combined microphone and in-ear monitoring (IEM) system enhances sound and / or visual data transmission, production, recording, reinforcement and monitoring in real-time.

An automatic system level testing (ASLT) system for testing smart devices is disclosed. The system comprises a system controller coupled to and operable to stress a smart device in an enclosure, wherein the enclosure comprises a plurality of components, and wherein the system controller comprises: (a) a memory comprising test logic; and (b) a processor configured to automatically control the plurality of components and test the smart device in accordance with the test logic. Further, the plurality of components comprises: (a) a robotic arm comprising a stylus affixed thereto, wherein the stylus is operable to manipulate the smart device; and (b) a platform comprising a device holder affixed thereto, wherein the device holder is operable to receive the smart device, and wherein the platform and the robotic arm are robotically controlled to move by the processor.

The invention provides a system for screening diabetic retinopathy. The system comprises an eyeground image obtaining device, an image processing and screening device and a report output device, wherein the eyeground image obtaining device is used for acquiring or receiving eyeground images of detected personnel; the image processing and screening device is used for processing the eyeground images and detecting whether pathology exists and then transmitting a detection result to the report output device; and the report output device outputs a corresponding detection report on the basis of the detection result. According to the system, the sensitivity of determining the diabetic retinopathy can reach 93.8%, the specificity can reach 94.5%, the precision is equivalent to manual determination precision, yet the detection time is greatly reduced, and the average detection time is 8.7 seconds, which is only one thirtieth of manual film reading time. Therefore, the scanning cost of the diabetic retinopathy can be substantially decreased, the diabetic retinopathy can be found early and treated early, the pain of patients is greatly reduced, and the clinical application prospect and the social benefits are quite good.

An automatic system level testing (ASLT) system for testing smart devices is disclosed. The system comprises a system controller operable to be coupled with a smart device in an enclosure, wherein the system controller comprises a memory comprising test logic and a processor. The system also comprises the enclosure, wherein the enclosure comprises a plurality of components, the plurality of components comprising: (i) a robotic arm comprising a stylus, wherein the stylus is operable to manipulate the smart device to simulate human interaction therewith; and (ii) a platform comprising a device holder, wherein the device holder is operable to receive a smart device inserted there into. The processor is configured to automatically control the smart device and the plurality of components in accordance with the test logic.

The invention discloses an intelligent video analyzing method for pedestrians crossing zebra stripes. The intelligent video analyzing method comprises the following steps that (1) a video analyzing system is arranged near the zebra stripes and is started regularly at preset time points, and cameras collect video information data in real time and transmit the video information data to a video analyzer; (2) the video analyzer analyzes the video information data and judges states of traffic lights, the intruder alarming function of an intelligent alarming module is started if the red light is turned on, and the prompt information playing function of the intelligent alarming module is started if the green light or the yellow light is turned on; (3) the video analyzing system is closed at preset time points, and the video information data of the day are stored before the video analyzing system is closed. By means of the scheme, the unique intelligent video analyzing method for the urban zebra stripe traffic lights and the moving pedestrians is achieved, the intrusion on the pedestrians crossing the zebra stripes is detected when the red light is turned on, and intelligent audio and video alarming is conducted according to detecting results.

Systems and methods for automatic FOV selection in immunoscore computation that involve reading images for individual markers from an unmixed multiplex slide or single stain slides, and computing the tissue region mask from the individual marker image. The heat map of each marker is determined by applying the low pass filter on the individual marker image channel and selecting the top K highest intensity regions from the heat map as the candidate FOVs for each marker. The candidate FOVs from the individual marker images are merged together in the same coordinate system by either adding all of the FOVs together or by only adding the FOVs from the selected marker images depending on the user's choice, and registering all the individual marker images to a common coordinate system and transferring the FOVs back to the original images.

The invention relates to an air bridge and an automatic abutting method therefor. The air bridge comprises an airplane connector, a lifting mechanism, a travelling mechanism and an automatic abutting device. The automatic abutting device comprises an image data acquisition unit, a preprocessing unit, a database, a visual identification and positioning unit, a motion control unit and a bridge control system. When an airplane parks at a parking position and the air bridge automatically abuts at an initial position, the automatic abutting device is started; image data of a hatch door of the airplane, included in the image data acquisition unit, is preprocessed; an image meeting the features of the hatch door of the airplane is recognized from the processed image data; information about the position of the airplane connector relative to the hatch door is calculated; travel control information is generated according to the information about the relative position; the relative position information and the travel control information are encoded and transmitted to the bridge control system; finally, the received information is decoded, the travel control information is executed, and the air bridge is driven to move until automatically abutting to the hatch door.

A system for detecting haemozoin in a sample, said system including a light source for exciting the sample with an optical signal to generate a non-linear optical response, and a detector for detecting the generated non-linear optical response from the excited sample. A method for detecting haemozoin in a sample, the method including exciting the sample with an optical signal to generate a non-linear optical response from the sample, and detecting the emitted non-linear optical signal from the excited sample.

The invention discloses a method for identifying producing area of tea by using element content in the tea. Spectroscopy analysis technique is used for determination and establishment of a tea element content database; based on the partial least squares, VBA code of EXCEL is used to establish a multielement content tea producing area discrimination model; through the determination of the contents of 21 elements in the tea, data is input into a prediction module of a piece of software for calculation; if a judgment value of a certain tea is greater than 0.8, the tea can be considered as belonging to the tea producing area, and otherwise the tea doesn't belong to the tea producing area. The analysis results of the invention are only decided by software prediction value, so as to rule out subjectivity and uncertainty of human judgment; and the method with high determination accuracy can be used to identify different teas from different producing areas and has a broad application prospect.

Embodiments described herein may provide devices, systems, methods, and / or computer readable medium for adverse event detection and severity estimation in surgical videos. The system can train multiple models for adverse detection and severity estimation. The system can load selected models for real-time adverse event detection and severity estimation.

An environment-economic robust dispatching method for power system based on classified uncertain sets is disclosed. The method constructs uncertain sets of wind power, photovoltaic power and load based on classified probability opportunity constraints. Furthermore, the robust multi-objective optimal dispatching model of power system environment economy based on classified uncertain sets is proposed, which takes robustness as the objective of collaborative optimization and considers economy and environmental protection comprehensively, so as to realize multi-objective optimal decision. The invention fully takes into account the randomness distribution characteristics differences of wind power, photovoltaic power and load, and realizes accurate description of robustness of optimized dispatching scheme. For the first time, robustness is taken as the objective of collaborative optimization, which eliminates the subjectivity of preset robustness (or confidence), and leads to more reasonablerobustness and higher overall satisfaction.

The present invention relates to a system and methods for acquiring two-dimensional Fourier transform (2D FT) spectra. Overlap of a collinear pulse pair and probe induce a molecular response which is collected by spectral dispersion of the signal modulated probe beam. Simultaneous collection of the molecular response, pulse timing and characteristics permit real time phasing and rapid acquisition of spectra. Full spectra are acquired as a function of pulse pair timings and numerically transformed to achieve the full frequency-frequency spectrum. This method demonstrates the ability to acquire information on molecular dynamics, couplings and structure in a simple apparatus. Multi-dimensional methods can be used for diagnostic and analytical measurements in the biological, biomedical, and chemical fields.

A tire defect detection system including a support structure for receiving a tire; an actuator disposed proximate the tire for impacting the tire; a microphone disposed proximate the actuator for receiving a sound wave generated when the actuator impacts the tire; and a computer responsive to the microphone, the computer programmed to calculate a number of discriminator quantities from the resulting sound wave and to compare the calculated discriminator quantities with stored discriminator quantities indicative of a defect to determine whether a defect is present in the tire.

The invention discloses an intelligent image annotation method based on YOLOv3 depth learning network, belonging to the technical field of image retrieval. Firstly, the image data set to be labeled bythe image recognition item is divided into M groups, one group is manually labelled, and it is used to train YOLOv3 deep learning network, then, the obtained network model is automatically labeled with another set of unlabeled image data, and added into the training set of YOLOv3 to continue training, and the labeling and training process is repeated until all sets of image data are labeled successfully, and the updated model of the whole data set corresponding to the image recognition item is obtained. The invention realizes intelligent labeling of picture data sets of image recognition items, not only effectively reduces the complex workload of image labeling, but also gradually improves the performance of YOLOv3 model detection and recognition target through several cyclic iterative training.

The invention discloses a device and method for collecting and segmenting of hyperspectral images of unstainedpathological sections. A section sample platform is supported in the middle of a bracket, the hyperspectral images of the unstainedpathological sectionsare automatically collected and processed through a computer, and lesion area segmentation resultsare obtained. Based on spectral difference caused by pathological changes of tissues, a personal computeris adopted to synchronously control relevant modules, spectral sequence images of the unstainedhistopathological sectionsare collected and preprocessed, and corresponding three-dimensionalhyperspectral dataare produced after overlaying;based the data and the combination with a currentlypopularneural network classificationthought, a spectral classification algorithm is developed to perform identity partitioning of a lesion area, thereby acceleratingthe identification rate and efficiency of the histopathological section, avoidingmanual errors which maybe brought during staining, and reducingthe time required by section making;automatic judgment is performed by utilizing a machine algorithm, therebyreducingsubjectivity caused by manual judgment. Therefore,a good auxiliary function is provided for a pathology doctor to detect the pathological sections.

The invention relates to a quality monitoring system and a method of a tobacco primary process. The quality monitoring system of the tobacco primary process comprises an index formulating unit, a data collection unit, a data analysis unit and a result determination unit; the collected data is modeled and analyzed on the basis of a tobacco primary process center control data system, so that the indexes according with current tobacco requirements, device processing capacity and processing direction are obtained, and the indexes are subjected to SPC (statistical process control) tracking determination. According to the technical scheme, the technical problem that a tobacco primary process parameter in the prior art cannot objectively reflect an actual production condition is effectively avoided. The quality monitoring method and the system are capable of monitoring and automatically analyzing the tobacco primary process.

The invention discloses a multi-process scheme planning method based on a combination weighting method. The multi-process scheme planning method comprises the following steps: analyzing various factors influencing the quality of a process scheme, and establishing two layers of evaluating systems; carrying out standardizing treatment on evaluating index data by adopting a subjection function; respectively weighting evaluating indexes by adopting a fuzzy integrated evaluating method and a variation coefficient method based on process knowledge data; in combination with the weighting results of the fuzzy integrated evaluating method and the variation coefficient method, taking minimal sum of weight error squares as a target function, and calculating combination weight by adopting a Lagrangian multiplier method; based on the combination weight, in combination with a gray relative analysis method, according to the design of two layers of evaluating structures, establishing two layers of gray relative analysis models, and selecting an optimal process scheme by correlation degree of candidate process schemes obtained by calculating the models. According to the multi-process scheme planning method disclosed by the invention, the distribution deviation of optimized target weights is reduced, and the performability of the process scheme is improved.

An automated test system for testing smart devices is presented. The system comprises a system controller operable to be coupled to a smart device, wherein the system controller comprises a memory comprising test logic and a processor, and also comprises an enclosure comprising a plurality of components, the plurality of components comprising: (a) a robotic arm comprising a stylus, wherein the stylus is operable to manipulate the smart device to simulate human interaction therewith; (b) a platform comprising a device holder, wherein the device holder is operable to hold a smart device inserted therein; (c) an audio capture and generator device; and (d) a microphone. The processor is configured to automatically control the smart device and the plurality of components in accordance with the test logic.

An automatic recognition and classification of ore and mineral images are disclosed in the invention. the invention utilizes the computer vision technology and the depth convolution neural network theory, Based on the big data platform Tensorflow, the convolution artificial neural network model is established, and the image data input model is trained according to the microscopic photographs of yellow iron ore from Jiapigou Gold Mine in Jilin Province, so as to realize the automatic recognition and classification of different ore minerals in the microscopic photographs of yellow iron ore. Theinvention can assist geologists to identify and classify the microscopic photographs of ore minerals and improve the working efficiency of geologists.

The present invention relates to systems and methods for developing radiotherapy treatment plans though the use of machine learning approaches and neural network components. A neural network is trained using one or more three-dimensional medical images, one or more three-dimensional anatomy maps, and one or more dose distributions to predict a fluence map or a dose map. During training the neuralnetwork receives a predicted dose distribution determined by the neural network that is compared to an expected dose distribution. Iteratively the comparison is performed until a predetermined threshold is achieved. The trained neural network is then utilized to provide a three-dimensional dose distribution.

Embodiments including systems, computer-implemented methods, and computer-readable media can generate an outsourcing questionnaire interface to be displayed at a display. The outsourcing questionnaire interface can include a plurality of questions, relating to a plurality of outsourcing dimensions, and a corresponding plurality of response fields for users to respond with respect to a business process. Embodiments can further determine a plurality of dimensional scores for the business process responsive to a plurality of user-selected responses received at the plurality of response fields. Embodiments can further generate an outsourcing recommendation interface, to be displayed at the display, that is a graphical chart including a process-recommendation bubble, for the business process, which can be displayed having a position and size in the graphical chart determined responsive to one or more of the plurality of dimensional scores.